
The Handbook of Artificial Intelligence
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Content
- Front Cover
- The Handbook of Artificial Intelligence
- Copyright Page
- Table of Contents
- Dedication
- LIST OF CONTRIBUTORS
- PREFACE
- Chapter XI. Models of Cognition
- A. OVERVIEW
- B. GENERAL PROBLEM SOLVER
- C. OPPORTUNISTIC PROBLEM SOLVING
- D. EPAM
- E. SEMANTIC NETWORK MODELS OF MEMORY
- F. BELIEF SYSTEMS
- Chapter XII. Automatic Deduction
- A. OVERVIEW
- B. THE RESOLUTION RULE OF INFERENCE
- C. NONRESOLUTION THEOREM PROVING
- D. THE BOYER-MOORE THEOREM PROVER
- E. NONMONOTONIC LOGICS
- F. LOGIC PROGRAMMING
- Chapter XIII. Vision
- A. OVERVIEW
- B. BLOCKS-WORLD UNDERSTANDING
- C. EARLY PROCESSING OF VISUAL DATA
- D. REPRESENTATION OF SCENE CHARACTERISTICS
- E. ALGORITHMS FOR VISION
- F. VISION SYSTEMS
- Chapter XIV. Learning and Inductive Inference
- A. OVERVIEW
- B. ROTE LEARNING
- C. LEARNING BY TAKING ADVICE
- D. LEARNING FROM EXAMPLES
- Chapter XV. Planning and Problem Solving
- A. OVERVIEW
- B. STRIPS AND ABSTRIPS
- C. NONHIERARCHICAL PLANNING
- D. HIERARCHICAL PLANNERS
- E. REFINEMENT OF SKELETAL PLANS
- Bibliography
- List of Abbreviations
- Cumulative Indexes
- NAME INDEX FOR VOLUMES I, II, AND III
- SUBJECT INDEX FOR VOLUMES I, II, AND III
- ABOUT THIS BOOK
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